- Published
- 2021-07-02
- Venue
- ACM Computing Surveys, vol. 54, no. 4, pp. 1-37
- Cited by
- 2,108
- Open access
- Yes, bronze
- DOI
- 10.1145/3447772
Abstract
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various graph-based data models, as well as languages used to query and validate knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques. We conclude with high-level future research directions for knowledge graphs.